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Internship Ontology Engineer Jobs (NOW HIRING)

Octagon Talent

AI Engineer

Austin, TX · On-site

$220K - $270K/yr

Context systems grounded in real operations: * industrial ontology / knowledge graph mapping plants ... internships can count toward total experience * Full-stack engineering capability; comfortable ...

Wingbrace

System Engineer (MBSE)

Lincoln, MA · On-site

Developing and driving model taxonomy and ontology consensus with stakeholders * Estimating ... internships and project-related experience * Must have Experience in Model Based Systems ...

ArangoDB

Developer Relations

San Francisco, CA · On-site +1

AutoGraph instantly builds knowledge graphs from enterprise documents, no manual ontology design ... You are an engineer. Title aside, what matters is your ability to build and debug real, non-trivial ...

TransUnion

Data Science Platform Developer

Chicago, IL · On-site

... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ... Experience in genAI-powered machine learning, such as agentic workflows, ontology designs, and ...

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Internship Ontology Engineer information

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$11

$19

$29

How much do internship ontology engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship ontology engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is an internship ontology engineer?

An Internship Ontology Engineer is a student or recent graduate working in a temporary role to assist with the design, development, and management of ontologies—structured frameworks for organizing information. These interns typically work alongside experienced ontology engineers and data scientists to create, update, and test data models that enable better data integration and retrieval. The role often involves using semantic web technologies such as OWL, RDF, and SPARQL, and collaborating with multidisciplinary teams to ensure the ontology meets organizational needs. This internship is ideal for those interested in artificial intelligence, information science, and data architecture.

What are the key skills and qualifications needed to thrive as an internship ontology engineer, and why are they important?

To thrive as an Internship Ontology Engineer, you need a foundational understanding of semantic web technologies, ontology modeling, and knowledge representation, often supported by studies in computer science or information science. Familiarity with tools like Protégé, SPARQL, RDF, OWL, and version control systems is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns collaborate and clearly document complex structures. These skills are essential for accurately modeling data relationships and supporting interoperability in data-driven environments.

What are some common challenges faced by internship ontology engineers, and how can they be addressed?

Internship Ontology Engineers often encounter challenges such as understanding complex domain knowledge quickly, ensuring interoperability between different data models, and learning to use specialized ontology development tools like Protégé. To overcome these, interns should actively seek guidance from senior team members, participate in regular team meetings to clarify requirements, and engage with available documentation and training resources. Collaboration and open communication within the team are key to successfully navigating these challenges and gaining valuable hands-on experience.

What is the difference between Internship Ontology Engineer vs Data Analyst?

AspectInternship Ontology EngineerData Analyst
Required CredentialsRelevant degree in computer science, information science, or related field; familiarity with ontologies and semantic web technologiesDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, tech companies, or academic settings focusing on knowledge representationBusiness environments, data-driven departments, or consulting firms
Industry UsageUsed in AI, semantic web, and knowledge management projectsApplied across finance, marketing, healthcare, and more for data insights

Internship Ontology Engineers focus on developing and managing ontologies for knowledge representation, often in research or tech settings. Data Analysts interpret and visualize data to support business decisions. While both roles require analytical skills, the Internship Ontology Engineer emphasizes semantic web technologies, whereas Data Analysts focus on data processing and reporting.

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Internship Ontology Engineer jobs near you
Infographic showing various Internship Ontology Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

AI Engineer 1 - Platform Integration & AI/Data

The Nuclear Company

Washington, DC • On-site

$117K - $158K/yr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
The Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. They are seeking an AI Engineer 1 to help build and run the backend, data, and integration layers for their software platform, NOS, which supports one of the largest nuclear buildouts in the United States.
Responsibilities:
• Help build and maintain the application and data integrations that connect NOS to internal systems, partner APIs, and external data sources, working from well-scoped tickets under senior review.
• Take ownership of scoped CI/CD and release tasks that keep NOS builds repeatable, tested, and traceable.
• Do basic backend and DevOps work: build and fix backend services, write tests, and handle routine platform monitoring and maintenance.
• Ramp on Palantir Foundry, the data ontology, and the MCP interfaces that let AI agents work against NOS data and start contributing to them.
• Partner with the Platform Engineer, data scientists, AI/ML engineers, and product engineers, and grow from paired work toward independent delivery.
Qualifications:
Required:
• Computer science degree or equivalent, with 0-2 years of professional experience (internships, co-ops, and project work count).
• Strong fundamentals in at least one backend language (Python and/or TypeScript preferred; Go or Java also welcome).
• Some hands-on exposure to basic DevOps and backend work: CI/CD, version control, REST APIs, or wiring systems together, from an internship, a job, or a personal project.
• Has built something with AI beyond using a chat assistant: multi-step prompts, custom tools, AI in the codebase, or a small agentic project.
• Good written and verbal communication, and willingness to learn the nuclear and regulated-industry context.
Preferred:
• Exposure to a major cloud (AWS preferred), including coursework or personal projects.
• Coursework or project work in CI/CD, infrastructure as code, or configuration management.
• Coursework or project work in LLMs, agentic systems, or data modeling.
• Familiarity with Palantir Foundry, Databricks, or Snowflake.
• Internship or project work in a regulated or mega-project industry (nuclear, aerospace, defense, energy, medical).
Company:
The Nuclear Company enables the deployment of nuclear power plants at fleet-scale by integrating government and industry partners. Founded in 2023, the company is headquartered in Lexington, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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